Ron Sun

CoRR, 2024

2022

A unified framework for interpreting a range of motivation-performance phenomena.

[BibT_eX]

[DOI]

Sergei Bugrov

David Yun Dai

Cogn. Syst. Res., 2022

2021

A Mechanistic Account of Stress-Induced Performance Degradation.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

2020

Potential of full human-machine symbiosis through truly intelligent cognitive systems.

[BibT_eX]

[DOI]

AI Soc., 2020

2019

A Response to Núñez et al.'s (2019) "What Happened to Cognitive Science?".

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2019

2018

Introduction to the special issue on deep reinforcement learning: An editorial.

[BibT_eX]

[DOI]

Neural Networks, 2018

Why is a computational framework for motivational and metacognitive control needed?

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2018

Similarity-Based Reasoning, Raven's Matrices, and General Intelligence.

[BibT_eX]

[DOI]

Can Serif Mekik

David Yun Dai

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Anatomy of the Mind: a Quick Overview.

[BibT_eX]

[DOI]

Cogn. Comput., 2017

2016

Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture.

[BibT_eX]

[DOI]

Nick Wilson

Michael F. Lynch

Cogn. Comput., 2016

Emotion contagion in a cognitive architecture.

[BibT_eX]

[DOI]

Joseph Allen

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Cognitive Architectures and Agents.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Modeling the Creation and Development of Cause-Effect Pairs for Explanation Generation in a Cognitive Architecture.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Artificial Intelligence and Cognition, 2015

2014

A model of personality should be a cognitive architecture itself.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2014

Structural representation and reasoning in a hybrid cognitive architecture.

[BibT_eX]

[DOI]

John Licato

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Coping with Bullying: A Computational Emotion-Theoretic Account.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Using a Hybrid Cognitive Architecture to Model Children's Errors in an Analogy Task.

[BibT_eX]

[DOI]

John Licato

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Using Meta-Cognition for Regulating Explanatory Quality Through a Cognitive Architecture.

[BibT_eX]

[DOI]

John Licato

Proceedings of the Second International Workshop on Artificial Intelligence and Cognition (AIC 2014), 2014

2013

Psychologically realistic cognitive agents: taking human cognition seriously.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2013

Moral Judgment, Human Motivation, and Neural Networks.

[BibT_eX]

[DOI]

Cogn. Comput., 2013

2012

David L Waltz, in Memoriam.

[BibT_eX]

[DOI]

Richard P. Gabriel

Tim Finin

AI Mag., 2012

Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Accounting for Certain Mental Disorders Within a Comprehensive Cognitive Architecture.

[BibT_eX]

[DOI]

Nick Wilson

Cogn. Comput., 2011

CLARION as a Cognitive Framework for Intelligent Virtual Agents.

[BibT_eX]

[DOI]

Michael F. Lynch

Proceedings of the Intelligent Virtual Agents - 11th International Conference, 2011

Mental disorders within a cognitive architecture.

[BibT_eX]

[DOI]

Nick Wilson

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

How the core theory of CLARION captures human decision-making.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Creative problem solving: A CLARION theory.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A motivationally-based simulation of performance degradation under pressure.

[BibT_eX]

[DOI]

Neural Networks, 2009

Capturing human data in a letter counting task: Accessibility and action-centeredness in representing cognitive skills.

[BibT_eX]

[DOI]

Neural Networks, 2009

Theoretical status of computational cognitive modeling.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2009

Motivational Representations within a Computational Cognitive Architecture.

[BibT_eX]

[DOI]

Cogn. Comput., 2009

Cognitive simulation of academic science.

[BibT_eX]

[DOI]

Isaac Naveh

Proceedings of the International Joint Conference on Neural Networks, 2009

Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Cognitive Systems and Cognitive Architectures.

[BibT_eX]

[DOI]

Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Special Issue on Advances in Neural Networks Research: IJCNN'07.

[BibT_eX]

[DOI]

David G. Brown

Jennie Si

Neural Networks, 2008

2007

The Challenges of Building Computational Cognitive Architectures.

[BibT_eX]

[DOI]

Proceedings of the Challenges for Computational Intelligence, 2007

The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction.

[BibT_eX]

[DOI]

Neural Networks, 2007

Hierarchical approaches to understanding consciousness.

[BibT_eX]

[DOI]

L. Andrew Coward

Neural Networks, 2007

The importance of cognitive architectures: an analysis based on CLARION.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2007

Cognitive Social Simulation Incorporating Cognitive Architectures.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2007

The Motivational and Metacognitive Control in CLARION.

[BibT_eX]

Proceedings of the Integrated Models of Cognitive Systems., 2007

2006

Accounting for a variety of reasoning data within a cognitive architecture.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2006

Modeling meta-cognition in a cognitive architecture.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2006

A cognitively based simulation of academic science.

[BibT_eX]

[DOI]

Isaac Naveh

Comput. Math. Organ. Theory, 2006

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.

[BibT_eX]

[DOI]

AI Mag., 2006

Cognitive Architectures and the Challenge of Cognitive Social Simulation.

[BibT_eX]

[DOI]

Proceedings of the Web Intelligence Meets Brain Informatics, 2006

2005

Learning to cooperate in solving the traveling salesman problem.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2005

Cognitive Architectures and Multi-agent Social Simulation.

[BibT_eX]

[DOI]

Proceedings of the Multi-Agent Systems for Society, 2005

2004

Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model.

[BibT_eX]

[DOI]

Isaac Naveh

J. Artif. Soc. Soc. Simul., 2004

Intelligent agents and data mining for cognitive systems.

[BibT_eX]

[DOI]

Ning Zhong

Jiming Liu

Cogn. Syst. Res., 2004

Top-down versus bottom-up learning in cognitive skill acquisition.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2004

Cooperative Agents Through Bidding.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Learning Team Cooperation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

A Comparison of Team Evolution Operators.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

Learning Cooperation through Bidding.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

A multi-agent system integrating reinforcement learning, bidding and genetic algorithms.

[BibT_eX]

[DOI]

Web Intell. Agent Syst., 2003

Integrating Reinforcement Learning, Bidding and Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

2001

Connectionist inference models.

[BibT_eX]

[DOI]

Antony Browne

Neural Networks, 2001

Sequence Learning: From Recognition and Prediction to Sequential Decision Making.

[BibT_eX]

[DOI]

C. Lee Giles

IEEE Intell. Syst., 2001

Computation, reduction, and teleology of consciousness.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2001

Individual action and collective function: From sociology to multi-agent learning.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2001

From implicit skills to explicit knowledge: a bottom-up model of skill learning.

[BibT_eX]

[DOI]

Edward Merrill

Cogn. Sci., 2001

The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop.

[BibT_eX]

[DOI]

Stefan Wermter

AI Mag., 2001

Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Introduction to Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Duality of the mind - a bottom-up approach toward cognition.

[BibT_eX]

Lawrence Erlbaum, ISBN: 978-0-8058-3880-0, 2001

2000

Self-segmentation of sequences: automatic formation of hierarchies of sequential behaviors.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2000

Learning Plans without a priori Knowledge.

[BibT_eX]

[DOI]

Adapt. Behav., 2000

Rationality Assumptions and Optimality of Co-learning.

[BibT_eX]

[DOI]

Proceedings of the Design and Applications of Intelligent Agents, 2000

Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Multi-Agent Reinforcement Learning with Bidding for Automatic Segmentation of Action Sequences.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

1999

Multi-agent reinforcement learning: weighting and partitioning.

[BibT_eX]

[DOI]

Neural Networks, 1999

Connectionist variable binding.

[BibT_eX]

[DOI]

Antony Browne

Expert Syst. J. Knowl. Eng., 1999

Integration of cognitive systems across disciplinary boundaries.

[BibT_eX]

[DOI]

Vasant G. Honavar

Gregg C. Oden

Cogn. Syst. Res., 1999

A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making.

[BibT_eX]

[DOI]

Edward Merrill

Appl. Intell., 1999

Self-segmentation of sequences.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

Partitioning in reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

Knowledge extraction from reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

Bidding in Reinforcement Learning: A Paradigm for Multi-Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998

Autonomous learning of sequential tasks: experiments and analyses.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1998

Some Experiments with a Hybrid Model for Learning Sequential Decision Making.

[BibT_eX]

[DOI]

Inf. Sci., 1998

Computational Cognitive Modeling, the Source of Power, and Other Related Issues.

[BibT_eX]

[DOI]

Charles X. Ling

AI Mag., 1998

Automatic Partitioning for Multi-Agent Reinforcement Learning.

[BibT_eX]

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

An Overview of Hybrid Neural Systems.

[BibT_eX]

[DOI]

Stefan Wermter

Proceedings of the Hybrid Neural Systems, 1998

Supplementing Neural Reinforcement Learning with Symbolic Methods.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Neural Systems, 1998

1997

Learning, action and consciousness: a hybrid approach toward modelling consciousness.

[BibT_eX]

[DOI]

Neural Networks, 1997

A hybrid model for learning sequential navigation.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1996

Commonsense reasoning with rules, cases, and connectionist models: A paradigmatic comparison.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1996

Hybrid Connectionist-Symbolic Modules: A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration.

[BibT_eX]

[DOI]

AI Mag., 1996

Learning in reactive sequential decision tasks: the CLARION model.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Structuring Knowledge In Vague Domains.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 1995

A new approach toward modeling causality in commonsense reasoning.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 1995

Schemas, Logics, and Neural Assemblies.

[BibT_eX]

[DOI]

Appl. Intell., 1995

Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning.

[BibT_eX]

[DOI]

Artif. Intell., 1995

A Microfeature Based Approach Towards Metaphor Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

A neural network model of causality.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1994

Integrating rules and connectionism for robust commonsense reasoning.

[BibT_eX]

Sixth-generation computer technology series, Wiley, ISBN: 978-0-471-59324-9, 1994

1993

An efficient feature-based connectionist inheritance scheme.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern., 1993

Beyond associative memories: Logics and variables in connectionist models.

[BibT_eX]

[DOI]

Inf. Sci., 1993

How Do Symbols and Networks Fit Together - A Report from the Workshop on Integrating Neural and Symbolic Processes.

[BibT_eX]

[DOI]

Lawrence A. Bookman

AI Mag., 1993

Similarity in Cognition: A Review of Similarity and Analogical Reasoning.

[BibT_eX]

[DOI]

AI Mag., 1993

On neural networks for symbolic processing.

[BibT_eX]

[DOI]

Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

1992

A connectionist model for commonsense reasoning incorporating rules and similarities.

[BibT_eX]

[DOI]

Knowl. Acquis., 1992

1990

Integrating Rules and Connectionism for Robust Reasoning.

[BibT_eX]